Mistral Small 3.2 24B vs Qwen3 Max Thinking
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Small 3.2 24B and Qwen3 Max Thinking.
Mistral Small 3.2 24B
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Qwen3 Max Thinking
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it...
Technical Specifications
| Specification | Mistral Small 3.2 24B | Qwen3 Max Thinking |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 128,000 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-20 | 2026-02-09 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3.2 24B
$0.07
Qwen3 Max Thinking
$0.78
Output Price per Million Tokens
Mistral Small 3.2 24B
$0.20
Qwen3 Max Thinking
$3.90
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.
Qwen3 Max Thinking Quirks & Gotchas
No developer gotchas reported.